標(biāo)題: Titlebook: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics; 8th European Confere Clara Pizzuti,Marylyn D. Ritchie,Mario G [打印本頁] 作者: metamorphose 時(shí)間: 2025-3-21 18:19
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics影響因子(影響力)
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics影響因子(影響力)學(xué)科排名
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics網(wǎng)絡(luò)公開度
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics被引頻次
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics被引頻次學(xué)科排名
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics年度引用
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics年度引用學(xué)科排名
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics讀者反饋
書目名稱Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics讀者反饋學(xué)科排名
作者: Comprise 時(shí)間: 2025-3-21 22:36
Role of Centrality in Network-Based Prioritization of Disease Genesthat the products of genes associated with similar diseases are likely to interact with each other heavily in a network of protein-protein interactions (PPIs). An important challenge for these applications, however, is the incomplete and noisy nature of PPI data. Random walk and network propagation 作者: 新義 時(shí)間: 2025-3-22 03:07
Parallel Multi-Objective Approaches for Inferring Phylogeniess. Several single optimality criterion have been proposed for the phylogenetic reconstruction problem. However, different criteria may lead to conflicting phylogenies. In this scenario, a multi-objective approach can be useful since it could produce a set of optimal trees according to multiple crite作者: confederacy 時(shí)間: 2025-3-22 08:11
An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Predictionputational biology. A new evolutionary model based on hill-climbing genetic operators is proposed to address the hydrophobic - polar model of the protein folding problem. The introduced model ensures an efficient exploration of the search space by implementing a problem-specific crossover operator a作者: 西瓜 時(shí)間: 2025-3-22 09:44
Finding Gapped Motifs by a Novel Evolutionary Algorithming the complex gene regulatory networks and understanding gene functions. In this work, we develop a novel motif finding algorithm based on a population-based stochastic optimization technique called Particle Swarm Optimization (PSO), which has been shown to be effective in optimizing difficult mul作者: 有機(jī)體 時(shí)間: 2025-3-22 13:14 作者: 有機(jī)體 時(shí)間: 2025-3-22 20:50
A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationshipst to result from the joint failure of two or more interacting components instead of single component failures. This greatly complicates both the task of selecting informative genetic variations and the task of modeling interactions between them. We and others have previously developed algorithms to 作者: Atmosphere 時(shí)間: 2025-3-22 21:31 作者: Ligament 時(shí)間: 2025-3-23 01:32
Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions are due to a myriad of factors including environmental exposures and complex genetic risk models, including gene-gene interactions. Such interactive models present an important analytical challenge, requiring that methods perform both variable selection and statistical modeling to generate testable作者: Immunotherapy 時(shí)間: 2025-3-23 05:48
Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Cogredient in making therapeutic decisions. In recent years gene expression data have been successfully used to complement the clinical and histological criteria traditionally used in such prediction. Many “gene expression signatures” have been developed, i.e. sets of genes whose expression values in 作者: commonsense 時(shí)間: 2025-3-23 09:50
Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Datasents a Scatter Search with the aim of finding biclusters from gene expression data. However, biclusters with certain patterns are more interesting from a biological point of view. Therefore, the proposed Scatter Search uses a measure based on linear correlations among genes to evaluate the quality 作者: 期滿 時(shí)間: 2025-3-23 14:43
A Local Search Appproach for Transmembrane Segment and Signal Peptide Discriminationts and signal peptides because they have common biochemical properties. In this paper, we introduce a new predictive method called LSTranslocon (Local Search Translocon) based on a Local Search methodology. The method takes advantage of the latest knowledge in the field to model the biological behav作者: Narcissist 時(shí)間: 2025-3-23 21:04 作者: 脆弱帶來 時(shí)間: 2025-3-23 22:51 作者: 雕鏤 時(shí)間: 2025-3-24 04:45
Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Modelre a number of parameters to be adjusted to biological experimental data and this question can be posed as an optimization problem. In this paper we investigate the behavior of different estimation of distribution algorithms (EDAs) for this problem. We focus on studying the influence that the intera作者: 神化怪物 時(shí)間: 2025-3-24 09:53
The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms s difficult because common diseases are likely the result of joint failure of two or more interacting components instead of single component failures. Efficient algorithms that can detect interacting attributes are needed. The Relief family of machine learning algorithms, which use nearest neighbors作者: 租約 時(shí)間: 2025-3-24 11:50
Artificial Immune Systems for Epistasis Analysis in Human Geneticsto keep pace with this increase. In order to allow personal genomics to play a vital role in modern health care, analysis methods capable of discovering high order interactions that contribute to an individual’s risk of disease must be developed. An artificial immune system (AIS) is a method which m作者: 在駕駛 時(shí)間: 2025-3-24 16:08
Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Modelsstrial interest is a big challenge in Metabolic Engineering. Evolutionary Algorithms and Simulated Annealing have been used in this task to identify sets of reaction deletions, towards the maximization of a desired objective function. To simulate the cell phenotype for each mutant strain, the Flux B作者: HEED 時(shí)間: 2025-3-24 21:06
Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Studylem. In this paper, a newly introduced method called Rotation Forest for building ensemble of classifiers based on bootstrap sampling and feature extraction is implemented and applied to challenge this problem. The Rotation Forest is a straight forward extension of bagging algorithms which aims to p作者: 聯(lián)想記憶 時(shí)間: 2025-3-25 00:03
https://doi.org/10.1007/978-94-6265-595-9hod combines an Evolutionary Algorithm with Variable Neighborhood Search. Experimental results show that the algorithm is able to achieve good results, in terms of energy optimization and RMSD values for several molecules when compared with previous approaches. In addition, when hybridized with the 作者: Graduated 時(shí)間: 2025-3-25 05:52 作者: 追蹤 時(shí)間: 2025-3-25 08:44
Christoph Herrmann,J?rg Philipp Terhechtes. Several single optimality criterion have been proposed for the phylogenetic reconstruction problem. However, different criteria may lead to conflicting phylogenies. In this scenario, a multi-objective approach can be useful since it could produce a set of optimal trees according to multiple crite作者: FLIP 時(shí)間: 2025-3-25 14:36 作者: 極少 時(shí)間: 2025-3-25 16:52 作者: Popcorn 時(shí)間: 2025-3-25 21:38 作者: vascular 時(shí)間: 2025-3-26 00:34
Overview of WTO Jurisprudence in 2013t to result from the joint failure of two or more interacting components instead of single component failures. This greatly complicates both the task of selecting informative genetic variations and the task of modeling interactions between them. We and others have previously developed algorithms to 作者: conifer 時(shí)間: 2025-3-26 05:42
Regulating Multinational Enterprisesciation studies over the last decade, yet little heritability in highly studied complex traits has been explained by genetic variation. Non-additive gene-gene interactions, which are not often explored, are thought to be one source of this “missing” heritability. Here we present our assessment of th作者: 繁榮地區(qū) 時(shí)間: 2025-3-26 11:50 作者: atopic 時(shí)間: 2025-3-26 14:17 作者: Esophagitis 時(shí)間: 2025-3-26 18:30 作者: TOXIN 時(shí)間: 2025-3-26 21:45
Alberto do Amaral Jr,Marina Martins Martests and signal peptides because they have common biochemical properties. In this paper, we introduce a new predictive method called LSTranslocon (Local Search Translocon) based on a Local Search methodology. The method takes advantage of the latest knowledge in the field to model the biological behav作者: Adulate 時(shí)間: 2025-3-27 01:58
https://doi.org/10.1007/978-3-031-05083-1formations are represented in a simplified off-lattice model. In that model we propose a move set that transforms a protein conformation into another in order to enable the use of local search algorithms for protein folding simulations and conformational search. The energy minimization problem behin作者: defenses 時(shí)間: 2025-3-27 07:08 作者: Meditative 時(shí)間: 2025-3-27 12:04 作者: 可商量 時(shí)間: 2025-3-27 15:33 作者: inquisitive 時(shí)間: 2025-3-27 19:20 作者: Peristalsis 時(shí)間: 2025-3-28 01:55 作者: gentle 時(shí)間: 2025-3-28 05:14 作者: 共同時(shí)代 時(shí)間: 2025-3-28 08:44 作者: Diastole 時(shí)間: 2025-3-28 13:57 作者: 合適 時(shí)間: 2025-3-28 18:25 作者: 凝乳 時(shí)間: 2025-3-28 21:35
https://doi.org/10.1007/978-3-642-12211-8bioinformatics; data mining; evolution; evolutionary computation; genetics; learning; machine learning; mod作者: 紡織品 時(shí)間: 2025-3-28 22:53
Clara Pizzuti,Marylyn D. Ritchie,Mario GiacobiniFast track conference proceeding.Unique visibility.State of the art research作者: Infusion 時(shí)間: 2025-3-29 05:05 作者: Infinitesimal 時(shí)間: 2025-3-29 10:50
https://doi.org/10.1007/978-94-6265-595-9, in terms of energy optimization and RMSD values for several molecules when compared with previous approaches. In addition, when hybridized with the L-BFGS local search method it attains very competitive results.作者: 癡呆 時(shí)間: 2025-3-29 11:33 作者: 耐寒 時(shí)間: 2025-3-29 16:15 作者: 有限 時(shí)間: 2025-3-29 20:40 作者: 俗艷 時(shí)間: 2025-3-30 01:28 作者: macrophage 時(shí)間: 2025-3-30 07:26
Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Locie performance of grammatical evolution to evolve neural networks (GENN) for discovering gene-gene interactions which contribute to a quantitative heritable trait. We present several modifications to the GENN procedure which result in modest improvements in performance.作者: 種類 時(shí)間: 2025-3-30 11:49 作者: FATAL 時(shí)間: 2025-3-30 16:01
A Local Search Appproach for Transmembrane Segment and Signal Peptide Discriminationiors of proteins with the aim of ensuring good prediction. The LS Prediction approach is assessed on a constructed data set from Swiss-Prot database and compared with one of the best methods from the literature.作者: LEER 時(shí)間: 2025-3-30 19:31 作者: champaign 時(shí)間: 2025-3-30 21:14 作者: 是貪求 時(shí)間: 2025-3-31 01:00
António Teodoro,Manuela Guilhermeresults obtained are compared with the ones reached using the deletion of reactions, showing that we obtain solutions with similar quality levels and number of knockouts, but biologically more feasible. Indeed, we show that several of the previous solutions are not viable using the provided rules.作者: hankering 時(shí)間: 2025-3-31 05:41
https://doi.org/10.1007/978-3-319-99265-5xperimental results show that the Rotation Forest enhanced the protein folding prediction accuracy better than the other applied Meta classifiers, as well as the previous works found in the literature.作者: Fretful 時(shí)間: 2025-3-31 11:51 作者: LATHE 時(shí)間: 2025-3-31 16:51 作者: 威脅你 時(shí)間: 2025-3-31 20:54
Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Studyxperimental results show that the Rotation Forest enhanced the protein folding prediction accuracy better than the other applied Meta classifiers, as well as the previous works found in the literature.作者: 話 時(shí)間: 2025-4-1 00:53 作者: 你不公正 時(shí)間: 2025-4-1 04:19 作者: 輕而薄 時(shí)間: 2025-4-1 07:24
Role of Centrality in Network-Based Prioritization of Disease Genest aim to account for the degree distribution of known disease and candidate genes. We show that, while the proposed schemes are very effective in detecting loosely connected disease genes that are missed by existing approaches, this improvement might come at the price of more false negatives for hig作者: irreparable 時(shí)間: 2025-4-1 10:15
